列车驾驶模拟器经典洗出算法的参数优化  

Parameters Optimization of the Classical Washout Algorithm in Locomotive Driving Simulator

作　　者：王小亮[1] 李立[1] 张卫华[2] 

机构地区：[1]西南交通大学机械工程学院,四川成都610031 [2]西南交通大学牵引动力国家重点实验室,四川成都610031

出　　处：《中国铁道科学》2008年第5期102-107,共6页China Railway Science

基　　金：西南交通大学牵引动力国家重点实验室资助项目(TPL0606)

摘　　要：洗出算法参数的选择对模拟器逼真度有直接的影响。针对目前应用于列车驾驶模拟器经典洗出算法参数选择的不足,根据经典洗出算法原理推导出整体传递函数关系式作为目标函数,以定量表述平台运动空间、响应能力和人体感觉阈值对模拟器逼真度的影响作为约束条件,选择简洁、灵活的极点配置滤波器方程,利用遗传算法进行优化,寻找出最适合模拟器配置的算法参数。运用MATLAB软件,对优化前后的平台运动和人体运动感觉进行比较,结果显示优化后经典洗出算法参数明显提高了模拟器的逼真度。The selection of parameters in washout algorithm directly affected the fidelity of simulator. To overcome the deficiencies of the selection of parameters in present classical washout algorithm applied to locomotive driving simulator, the whole transfer function of classical washout algorithm as objective function was concluded according to the algorithm principles, the effects of platform motion space, response ability and human perception threshold on simulator fidelity as constraint conditions were quantificationally expressed, simple and flexible pole configured filter equations were chosen, the algorithm parameters of the most suitable to simulator configuration were found out based on the genetic algorithm. By utilizing MATLAB software, the platform movements and human motion sensation with and without parameters optimization were compared. It is shown that the fidelity of locomotive simulator has been remarkably improved with optimized parameters.

关 键 词：列车驾驶模拟器 经典洗出算法 遗传算法 参数优化 模拟器逼真度 

分 类 号：U268.4[机械工程—车辆工程]